RotationForest

LMS自适应滤波器算法的matlab程序，其中包含利用LMS算法来识别线性噪声系统的实验(LMS adaptive filter algorithm in Matlab procedures, which contains the use of LMS algorithm to identify the linear system of experimental noise)

machine dc mfile

可用于电力系统短期负荷预测的RBF神经网络程序(Power system can be used for short-term load forecasting procedures of the RBF neural network)

加入邻域信息的空间模糊c均值聚类算法的代码。(Join neighborhood information, spatial fuzzy c-means clustering algorithm code.)

matlab去除信号直流分量代码，可用来处理GPR数据(DC component of the signal is removed matlab code used to process the data GPR)

说明：  信号的双边带am调制，相干解调仿真。通信原理matlab仿真设计。(Double sideband signal am modulation, coherent demodulation simulation. Communication theory matlab simulation design.)

matlab代码 用于流动边界层转捩和稳定性Orr-Sommerfeld求解 Chebyshev collocation (matlab code Orr-SommerfeldSquire system using Chebyshev collocation )

说明：  海浪模拟 改变频率及其他参数输入得到不同的海浪谱(Common function set of MATLAB simulink)

一种极值搜索控制算法的matlab仿真程序，以一个非线性系统为控制对象，能够实现系统输出的极值控制(a extremum control algorithm matlab simulation program, in which a nonlinear system is controlled with its extreme output)

RNNSIM v.2 package contains a number of m-files for training and evaluation of the random neural network. All functions have been thoroughly tested. After downloading the separate files or the zipped file, make sure that they are stored or extracted in the directory /rnnsimv2 Below an overview of the files contained in this directory along with a brief description of what they do. The on-line help facility explains how to call the different functions. You simply write help <function-name> in the MATLAB command window. Along with the m-files in this directory you will find a manual for the simulator in PDF format (rnnsimv2.pdf). Start by printing this out and read the release notes. Two simple demonstration programs are given to illustrate how most of the functions work.